TTT-Discover optimizes GPU kernels 2x faster than human experts — by training during inference

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Analytics Insight

AI Software Solutions Engineer, Intel

Intel is looking to hire an AI Software Solutions Engineer who will develop high-performance AI solutions which will be delivered through internal engineering t ...
GitHub

RTX 5090/5060 Docker: PyTorch & TensorFlow for NVIDIA Blackwell GPUs

The first Linux Docker container fully tested and optimized for NVIDIA RTX 5090 and RTX 5060 Blackwell GPUs, providing native support for both PyTorch and TensorFlow with CUDA 12.8. Run machine ...
IEEE

Coconut: Multi-Level Collaborative Deployment for Real-Time Deep Learning Tasks in Heterogeneous Edge GPU Cluster

Abstract: With the rapid development of artificial intelligence, intelligent manufacturing factories usually deploy various deep learning models on some heterogeneous edge devices to process data or ...
Voice&Data

Inside Space's new engine room: high-performance computing

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.
IEEE

Demonstration of Nanoseconds Reconfigurable All-Optical Switching Network for Distributed Deep Learning

Abstract: We experimentally demonstrate a nanoseconds all-optical switching network based on AWGR and REC-DFB laser array for accelerating distributed deep learning. With the implementation of ...
GitHub

train w/ FSDP OOM

When training with a 4-H100 FSDP setup (full fine-tuning), I encountered OOM during text_encoder loading stage. This is likely because FSDP loads the entire model on the primary GPU (rank 0) by ...